Publications

2025

The DRAGON benchmark for clinical NLP(2025)
Joeran Bosma, Koen Dercksen, Luc Builtjes et al., NPJ Digital Medicine
Weakly Supervised Classification of Mohs Surgical Sections Using Artificial Intelligence(2025)
Daan Geijs, Lisa Hillen, Stephan Dooper et al., Modern Pathology
Generating dermatopathology reports from gigapixel whole slide images with HistoGPT(2025)
Manuel Tran, Paul Schmidle, Ruifeng Guo et al., Nature Communications
Deep Learning for Automated Segmentation of Basal Cell Carcinoma on Mohs Micrographic Surgery Frozen Section Slides(2025)
Vamsi Varra, Kathryn Shahwan, Kirsten Johnson et al., Dermatologic Surgery

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning(2024)
Daan Geijs, Stephan Dooper, Witali Aswolinskiy et al., Medical Image Analysis
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning(2024)
Carlijn Lems, Daan Geijs, John-Melle Bokhorst et al., 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Histology-Based Radiomics for [18F] FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer(2024)
Esther Smeets, Marija Trajkovic-Arsic, Daan Geijs et al., Journal of Nuclear Medicine

Fibroblast Activation Protein-Targeted Photodynamic Therapy of Cancer-Associated Fibroblasts in Murine Models for Pancreatic Ductal Adenocarcinoma(2023)
Daphne Dorst, Esther Smeets, Christian Klein et al., Molecular Pharmaceutics

Basal cell carcinoma detection using weakly supervised deep learning methods and rule-based labels(2022)
Daan Geijs, Stephan Dooper, Witali Aswolinskiy et al.
Quantification of metabolic heterogeneity across multiple imaging modalities(2022)
E Smeets, M Trajkovic-Arsic, D Geijs et al., VIRCHOWS ARCHIV

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics(2021)
Maschenka Balkenhol, Francesco Ciompi, Żaneta Świderska-Chadaj et al., The Breast
Low dimensional state representation learning with reward-shaped priors(2021)
Nicolò Botteghi, Ruben Obbink, Daan Geijs et al., 2020 25th International Conference on Pattern Recognition (ICPR)
End-to-end classification on basal-cell carcinoma histopathology whole-slides images(2021)
Daan Geijs, Hans Pinckaers, Avital Amir et al., Medical Imaging 2021: Digital Pathology
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning(2021)
Meyke Hermsen, Valery Volk, Jan Bräsen et al., Laboratory Investigation

Een systematische aanpak voor het ontwikkelen en rangschikken van leerlijnen(2019)
DJ Geijs
Tumor segmentation in fluorescent TNBC immunohistochemical multiplex images using deep learning(2019)
DJ Geijs
In silico validation of a cartilage specific circadian clock: mutation of BMAL1 increased MMP expression(2019)
S Khurana, A Bokkers, DJ Geijs et al., Osteoarthritis and cartilage

Automatic color unmixing of IHC stained whole slide images(2018)
Daan Geijs, Milad Intezar, Jeroen van der Laak et al., Medical Imaging 2018: Digital Pathology

Comparison of different methods for tissue segmentation in histopathological whole-slide images(2017)
Péter Bándi, Rob van de Loo, Milad Intezar et al., 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

Spermometer: electrical characterization of single boar sperm motility(2016)
Bjorn de Wagenaar, Daan Geijs, Hans de Boer et al., Fertility and sterility

Geautomatiseerde beeldanalyse van morfologische kenmerken en de motiliteit van een individuele spermatozoon.(2015)
DJ Geijs

Detection Of People Stream Features Using Eigenvalue Maps(2014)
Wilbert van de Ridder, Claudia Ruffoni, Daan Geijs et al., University of Twente Students Journal of Biometrics and Computer Vision